Hybrid- and Multi-Cloud Architectures enabled by Data Virtuality

Cloud platforms became very popular in recent years and are now an integral part for most enterprises. Some enterprises fully rely on solely one cloud platform infrastructure and build their architecture around it. But the dependence on a single cloud platform comes with several risks – the dependency aspect is an especially significant one. Therefore, the majority of companies are rather moving to a hybrid- or multi-cloud architecture approach in order to benefit from the independence, flexibility, security, and potential cost optimization that these modern architectures offer. The cloud data ecosystem plays an essential role in fully enabling multi- or hybrid-cloud architecture:

1. To build the architecture that fits your specific needs, not the one that the cloud platforms of your choice impose on you.
2. To fill the gaps that cannot be filled solely by one single cloud provider such as data integration, metadata management, data governance, and data quality.
3. To avoid another silo built in the infrastructure of the cloud platform.

The Data Virtuality Platform helps to plug the gaps of the cloud platforms with different data management capabilities such as data integration, data quality, data governance, master data management, and metadata management so that you can build the architecture that you want!